Root surface as criterion for selection of sugar beet
نویسندگان
چکیده
منابع مشابه
The optimization of root nutrient content for increased sugar beet productivity using an artificial neural network
Conventional procedures are inadequate for optimizing the concentrations ofnutrients to increase the sugar yield. In this study, an artificial neural network(ANN) was used to optimize the Ca, Mg, N, K and Na content of the storage rootto increase sugar yield (Y) by increasing both sugar content (SC) and root yield(T). Data from three field experiments were used to produce a wide range ofvariati...
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A study to determine whether root rot infestations can be detected using high spatial resolution digital multispectral video (DMSV) data was conducted in the Imperial Valley of California. DMSV data were collected on two dates over 25 fields during the summer of 1999 using a light aircraft. The DMSV images included four spectral bands centered on 530 nm, 570 nm, 650 nm and 750 nm, with nominal ...
متن کاملSodium and rubidium as possible nutrients for sugar beet plants.
This study concerned the degree to which Na or Rb could substitute for K in the growth of sugar beet plants when K in the culture solution was low (1 meq/liter) or high (12 meq/liter).Sodium at high concentrations increased the growth of plants in a basal nutrient medium when either deficient in K or when adequately supplied with K alone. Redistribution of K from petioles to blades could not fu...
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Trichoderma species are among important antagonists of plant pathogenic fungi. The main purpose of this study was to evaluate the biocontrol potential of native Trichoderma spp. isolates from sugar beet fields against Phytophthora drechsleri and P. cryptogea, the causal agents of Phytophthora root rot of sugar beet. During 2007–08, 85 isolates of Trichoderma spp. from sugar beet fields in eight...
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ژورنال
عنوان ژورنال: Ratarstvo i povrtarstvo
سال: 2011
ISSN: 1821-3944
DOI: 10.5937/ratpov1101087d